Land use determination of arid regions using geographical information system

2011 ◽  
Vol 4 (16) ◽  
Author(s):  
Korosh Shirani
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographical Information System ◽  
Arid Regions ◽  
Geographical Information

scholarly journals DETERMINAÇÃO DA CAPACIDADE DE USO DAS TERRAS DO MUNICÍPIO DE SÃO MANUEL - SP

Irriga ◽  
2003 ◽  
Vol 8 (2) ◽  
pp. 142-149
Author(s):  
Osmar Delmanto Júnior ◽  
Sergio Campos ◽  
Lincoln Gehring Cardoso ◽  
Zacarias Xavier de Barros
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographical Information System ◽  
Geographical Information Systems ◽  
Geographical Information ◽  
Digital Storage ◽  
Territorial Organization ◽  
E Mail ◽  
Excellent Tool

DETERMINAÇÃO DA CAPACIDADE DE USO DAS TERRAS DO MUNICÍPIO DE SÃO MANUEL - SP   Osmar Delmanto JuniorSérgio CamposLincoln Gehring CardosoZacarias Xavier  de BarrosDepartamento de Engenharia Rural, Faculdade de Ciências Agronômicas, Universidade Estadual Paulista, Botucatu, SP. CP 237, CEP 18603-970. E-mail: [email protected]  1 RESUMO  Esse trabalho objetivou a elaboração da carta de capacidade de uso das terras do Município de São Manuel - SP, visando o planejamento adequado da ocupação do solo, utilizado-se de Sistema de Informação Geográfica (SIG).  A bacia situa-se entre as coordenadas geográficas  22º 28’ 20” e 22º 53’ 10” de latitudes S e os meridianos 48º 21’ 52” e 48º 48’ 00” de longitudes W Gr., apresentando uma área de 60.988ha.   O mapa de capacidade de uso da terra do município foi elaborado a partir dos mapas de classes de declive e de solo, tomando-se por base as características de cada um e utilizando-se da tabela de julgamento de classes de capacidade de uso.  As áreas da classe e subclasses de capacidade de uso das terras determinadas pelo SIG –IDRISI foram:  IIe,s (22,64%); IIIe (8,62%); IIIe,s (15,83%); IIIs (29,97%); IVe (10,82%); VIe (3,95%) e VIIe (0,96%).  Os resultados permitiram inferir que as subclasses mais significativas foram a IIIs e IIe,s.  As classes de declive de 0 a 20% ocorrem em mais de ¾ do Município, sendo as áreas planas, as mais representativas, pois ocorrem em quase 1/3 da área total.  O SIG mostrou-se uma excelente ferramenta para determinação da capacidade de uso da terra, demonstrando que a utilização do geoprocessamento facilita e agiliza o cruzamento dos dados digitais, permitindo seu armazenamento, que poderão ser utilizados para outras análises em futuros planejamentos geoambientais.  UNITERMOS: Sistema de Informações Geográficas, unidades de solo, classes  de declive, capacidade de uso da terra   DELMANTO JUNIOR, O.; CAMPOS S.; CARDOSO, L.G.; BARROS, Z.X. LAND USE CAPABILITY DETERMINATION OF SÃO MANUEL MUNICIPALITY-SP   2 ABSTRACT  The present work purposed a land use capability chart development from São Manuel Municipality-SP using a Geographical Information System - Idrisi aiming to contribute for a better territorial organization and soil occupation planning. The basin is located in the 22º 28’ 20” geographical co-ordinates at 22º 53’ 10” S latitude, 48º 21’ 52” and 48º 48’ 00” meridian of W Gr. longitude, presenting an area of 9180,12ha.  The chart of the basin land use capability was elaborated from the soil and sloping class charts based on each one characteristics and using the class table of use capability. The class and subclass areas determined through the Geographical Information System IDRISI presented the following values: IIe,s (22,64%), IIIe (8,62%), IIIe,s (15,83%), IIIs (29,97%), IVe (10,82%), VIe (3,95%) and VIIe (0,96%).  The results allowed to infer that the most significant sub classes were IIIs and IIe,s. The 0 to 20% sloping classes have occurred in more than ¾ of the district. Plane areas were the most significant since they occur in nearly 1/3 of the whole area. The Geographical Information System IDRISI has been an excellent tool to determine land use capability, specially related with geo-processing use. The later also facilitates the input, analysis and display of spatial environmental information as well as data digital storage which could be used for other analyses in further geo-environmental design.  KEYWORDS: Geoprocessing, land-use capability, Geographical Information Systems.

scholarly journals Land use and Land cover Mapping Based on Normalized Difference Vegetation Index using Remote Sensing and Geographical Information System in Banjar River Watershed of Narmada Basin

2017 ◽  
Vol 12 (3) ◽  
pp. 678-684
Author(s):  
Jagriti Tiwari ◽  
S.K. Sharma ◽  
R.J. Patil
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Information System ◽  
Land Cover ◽  
Geographical Information System ◽  
Water Body ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Geographical Information ◽  
River Watershed

The spatial analysis of land use and land cover (LULC) dynamics is necessary for sustainable utilization and management of the land resources of an area. Remote sensing along with Geographical Information System emerged as an effective technique for mapping the LU/LC categories of an area in an efficient and cost-effective manner. The present study was conducted in Banjar river watershed located in Balaghat and Mandla district of Madhya Pradesh, India. The Normalized Difference Vegetation Index (NDVI) approach was adopted for LU/LC classification of study area. The Landsat-8 satellite data of year 2013 was selected for the classification purpose. The NDVI values were generated in ERDAS Imagine 2011 software and LU/LC map was prepared in ARC GIS environment. On the basis of NDVI values five LU/LC classes were recognized in the study area namely river & water body, waste land & habitation, forest, agriculture/other vegetation, open land/fallow land/barren land. The forest cover was found to be highly distributed in the study area with an extent of 115811 ha and least area was found to be covered under river and water body (4057.28 ha). This research work will be helpful for the policy makers for proper formulation and implementation of watershed developmental plans.

Identifying potential receptors and routes of contaminant exposure in the traditional territory of the Ouje-Bougoumou Cree: Land use and a geographical information system

2006 ◽  
Vol 127 (1-3) ◽  
pp. 293-306 ◽  
Author(s):  
Leonard J. S. Tsuji ◽  
Harry Manson ◽  
Bruce C. Wainman ◽  
Eric P. Vanspronsen ◽  
Joseph Shecapio-Blacksmith ◽  
...  
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographical Information System ◽  
Geographical Information ◽  
Contaminant Exposure
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